Artificial Neural Networks â " ICANN 2009: 19th International Conference, Limassol, Cyprus, September 14-17, 2009, Proceedings, Part I (Lecture Notes in Computer Science, 5768)

ISBN 10: 3642042732 / ISBN 13: 9783642042737

Verlag: Springer, 2009

Beschreibung

Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority!

Bestandsnummer des Verkäufers S_381940936

Bibliografische Details

• Titel: Artificial Neural Networks â " ICANN 2009: 19th International Conference, Limassol, Cyprus, September 14-17, 2009, Proceedings, Part I (Lecture Notes in Computer Science, 5768)
• Verlag: Springer
• Erscheinungsjahr: 2009
• Sprache: Englisch
• ISBN-10: 3642042732
• ISBN-13: 9783642042737
• Einband: paperback
• Zustand: Very Good

Über diesen Titel

Inhaltsangabe

Learning Algorithms.- Mutual Information Based Initialization of Forward-Backward Search for Feature Selection in Regression Problems.- Kernel Learning for Local Learning Based Clustering.- Projective Nonnegative Matrix Factorization with ?-Divergence.- Active Generation of Training Examples in Meta-Regression.- A Maximum-Likelihood Connectionist Model for Unsupervised Learning over Graphical Domains.- Local Feature Selection for the Relevance Vector Machine Using Adaptive Kernel Learning.- MINLIP: Efficient Learning of Transformation Models.- Efficient Uncertainty Propagation for Reinforcement Learning with Limited Data.- Optimal Training Sequences for Locally Recurrent Neural Networks.- Statistical Instance-Based Ensemble Pruning for Multi-class Problems.- Robustness of Kernel Based Regression: A Comparison of Iterative Weighting Schemes.- Mixing Different Search Biases in Evolutionary Learning Algorithms.- Semi-supervised Learning for Regression with Co-training by Committee.- An Analysis of Meta-learning Techniques for Ranking Clustering Algorithms Applied to Artificial Data.- Probability-Based Distance Function for Distance-Based Classifiers.- Constrained Learning Vector Quantization or Relaxed k-Separability.- Minimization of Quadratic Binary Functional with Additive Connection Matrix.- Mutual Learning with Many Linear Perceptrons: On-Line Learning Theory.- Computational Neuroscience.- Synchrony State Generation in Artificial Neural Networks with Stochastic Synapses.- Coexistence of Cell Assemblies and STDP.- Controlled and Automatic Processing in Animals and Machines with Application to Autonomous Vehicle Control.- Multiple Sound Source Localisation in Reverberant Environments Inspired by the Auditory Midbrain.- A Model of Neuronal Specialization Using Hebbian Policy-Gradient with "Slow" Noise.- How Bursts Shape the STDP Curve in the Presence/Absence of GABAergic Inhibition.- Optimizing Generic Neural Microcircuits through Reward Modulated STDP.- Calcium Responses Model in Striatum Dependent on Timed Input Sources.- Independent Component Analysis Aided Diagnosis of Cuban Spino Cerebellar Ataxia 2.- Hippocampus, Amygdala and Basal Ganglia Based Navigation Control.- A Framework for Simulation and Analysis of Dynamically Organized Distributed Neural Networks.- Continuous Attractors of Lotka-Volterra Recurrent Neural Networks.- Learning Complex Population-Coded Sequences.- Structural Analysis on STDP Neural Networks Using Complex Network Theory.- Time Coding of Input Strength Is Intrinsic to Synapses with Short Term Plasticity.- Information Processing and Timing Mechanisms in Vision.- Review of Neuron Types in the Retina: Information Models for Neuroengineering.- Brain Electric Microstate and Perception of Simultaneously Audiovisual Presentation.- A Model for Neuronal Signal Representation by Stimulus-Dependent Receptive Fields.- Hardware Implementations and Embedded Systems.- Area Chip Consumption by a Novel Digital CNN Architecture for Pattern Recognition.- Multifold Acceleration of Neural Network Computations Using GPU.- Training Recurrent Neural Network Using Multistream Extended Kalman Filter on Multicore Processor and Cuda Enabled Graphic Processor Unit.- A Non-subtraction Configuration of Self-similitude Architecture for Multiple-Resolution Edge-Filtering CMOS Image Sensor.- Current-Mode Computation with Noise in a Scalable and Programmable Probabilistic Neural VLSI System.- Minimising Contrastive Divergence with Dynamic Current Mirrors.- Spiking Neural Network Self-configuration for Temporal Pattern Recognition Analysis.- Image Recognition in Analog VLSI with On-Chip Learning.- Behavior Modeling by Neural Networks.- Statistical Parameter Identification of Analog Integrated Circuit Reverse Models.- A New FGMOST Euclidean Distance Computational Circuit Based on Algebraic Mean of the Input Potentials.- FPGA Implementation of Support Vector Machines for 3D Object Identification.- Reconfigurable MAC-Based Architecture...

Von der hinteren Coverseite

This two volume set LNCS 5768 and LNCS 5769 constitutes the refereed proceedings of the 19th International Conference on Artificial Neural Networks, ICANN 2009, held in Limassol, Cyprus, in September 2009.

The 200 revised full papers presented were carefully reviewed and selected from more than 300 submissions. The first volume is divided in topical sections on learning algorithms; computational neuroscience; hardware implementations and embedded systems;  self organization; intelligent control and adaptive systems; neural and hybrid architectures; support vector machine; and recurrent neural network.